9 papers · 1 filter
Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
This research paper presents a comprehensive analysis of the performance of prominent pre-trained large language models (LLMs), including GPT-4 Turbo, GPT-3.5 Turbo, text-davinci-0…
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
Aniket Deroy, Subhankar Maity, Sudeshna Sarkar
Automatic question generation is a critical task that involves evaluating question quality by considering factors such as engagement, pedagogical value, and the ability to stimulat…
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
Question generation in education is a time-consuming and cognitively demanding task, as it requires creating questions that are both contextually relevant and pedagogically sound.…
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
We evaluate the effectiveness of GPT-4 Turbo in generating educational questions from NCERT textbooks in zero-shot mode. Our study highlights GPT-4 Turbo's ability to generate ques…
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
Grammatical error correction (GEC) tools, powered by advanced generative artificial intelligence (AI), competently correct linguistic inaccuracies in user input. However, they ofte…
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs) offers unprecedented opportunities for innovation in the field of modern education…